A Brief Perspective on Deep Learning Approaches for 2D Semantic Segmentation by Shazia Sulemane, Nuno Fachada, João P. Matos-Carvalho

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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

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Seismic Waveform Feature Extraction and Reservoir Prediction Based on CNN and UMAP: A Case Study of the Ordos Basin by Lifu Zheng, Hao Yang, Guichun Luo

“…To address these limitations, this paper proposes a novel framework combining Convolutional Neural Network (CNN) and Uniform Manifold Approximation and Projection (UMAP) for seismic waveform feature extraction and analysis. …”
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Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

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Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning by Hongyuan Du, Zhen Cao, Yingjie Song, Jiangbo Peng, Chaobo Yang, Xin Yu

“…Based on the acquired scattering images, a prediction and reconstruction method was developed using a deep network framework composed of a Stacked Autoencoder (SAE), a Backpropagation Neural Network (BP), and a Long Short-Term Memory (LSTM) model. …”
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Panchromatic and Hyperspectral Image Fusion Using Ratio Residual Attention Networks by Fengxiang Xu, Nan Zhang, Zhenxiang Chen, Peiran Peng, Tingfa Xu

“…Hyperspectral remote sensing images provide rich spectral information about land surface features and are widely used in fields such as environmental monitoring, disaster assessment, and land classification. …”
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SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features by Song Wang, Zhu Wang, Can Li, Xiaojuan Qi, Hayden Kwok-Hay So

“…To address these limitations, we introduce SpikeMOT, an innovative event-based MOT framework employing spiking neural networks (SNNs) within a Siamese architecture. SpikeMOT extracts and associates sparse spatiotemporal features from event streams, enabling high-frequency object motion inference while preserving object identities. …”
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Underwater Side-Scan Sonar Target Detection: An Enhanced YOLOv11 Framework Integrating Attention Mechanisms and a Bi-Directional Feature Pyramid Network by Junhui Zhu, Houpu Li, Min Liu, Guojun Zhai, Shaofeng Bian, Ye Peng, Lei Liu

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Examining the Impact of Content Features on Customer Engagement in Social Media: A Data Mining Approach on Instagram by Azade Shekari, Mohammad Mehdi Poursaeed, Saeed Dehyadegari

“…Then, the Clementine data mining toolkit, along with three methods—Association Rules, Apriori Algorithm, and Decision Tree—were used to identify features affecting customer engagement in terms of likes, comments, and conversations, and to evaluate their effectiveness.   …”
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Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance by Xin Zhao, Zeyuan Gao, Meng Li, Zhibin Han, Jianjian Zhu

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A MultiScale Coordinate Attention Feature Fusion Network for Province-Scale Aquatic Vegetation Mapping From High-Resolution Remote Sensing Imagery by Yuzhe Wang, Yunfei Sun, Peng Zhang, Yanlan Wu, Hui Yang

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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…The DFN-YOLO model incorporates a deformable channel feature fusion network (DCFFN), replacing the concatenate-to-fusion (C2f) module to enhance the extraction and integration of channel features. …”
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Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

“…The selected features are evaluated by using the Random Forest (RF) algorithm to combine multiple decision trees and create an accurate result. …”
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Landslide susceptibility evaluation and determination of critical influencing factors in eastern Sichuan mountainous area, China by Lin Zhang, Zhengxi Guo, Shi Qi, Tianheng Zhao, Bingchen Wu, Peng Li

“…Landslide susceptibility evaluation and determination of critical influencing factors is a prerequisite for preventing hazardous risks, especially in landslide-prone mountainous areas. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Within the local perturbation interval, the peak response deviation is 6.7%, far better than the comparative models (Long Short-Term Memory (LSTM) + Attention at 8.5% and Tabular Data Network (TabNet) at 9.8%). When compressed to 30% of the original feature dimension, the error only increases by 7.9%, and the inference time is shortened by 46.1%. …”
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Rotation-Invariant Feature Enhancement with Dual-Aspect Loss for Arbitrary-Oriented Object Detection in Remote Sensing by Zhao Hu, Xiangfu Meng, Xinsong Liu, Zhuxiang Sun

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spaMGCN: a graph convolutional network with autoencoder for spatial domain identification using multi-scale adaptation by Tianjiao Zhang, Hongfei Zhang, Zhongqian Zhao, Saihong Shao, Yucai Jiang, Xiang Zhang, Guohua Wang

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The Ultimate Evaluation of Current Consumption and QoS Metrics in 5G Mobile Networks Over IP Multimedia Subsystem (IMS) by Jussif Junior Abularach Arnez, Walmir Acioli E. Silva, Wederson Medeiros Silva, Ana Flavia de Oliveira Ribeiro, Janislley Oliveira de Sousa

“…We investigated the current consumption and QoS within 5G mobile networks, leveraging the IP Multimedia Subsystem (IMS) for Voice over New Radio (VoNR) and 5G Voice over Long-Term-Evolution using Dual-Connectivity feature (5G VoLTE). …”
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Different patterns of pre-excitation in a large Italian cohort of asymptomatic non-competitive athletes evaluated by telecardiology screening: Prevalence and ECG features by Martina Molinari, Sergio Setti, Natale Daniele Brunetti, Nicola Di Nunno, Maria Alberta Cattabiani, Giuseppe Molinari

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S2-IFNet: A spatial-semantic information fusion network integrated with boundary feature enhancement for forest land extraction from Sentinel-2 data by Junyang Xie, Mengyao Zhang, Hao Wu, Anqi Lin, Marcos Adami, Abdul Rashid Mohamed Shariff, Yahui Guo

“…S2-IFNet employs a dual-branch network to separately extract the spatial and semantic features of forest land. …”
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